Title
Homology Modeling of Human Muscarinic Acetylcholine Receptors.
Abstract
We have developed homology models of the acetylcholine muscarinic receptors M1R-M5R, based on the beta(2)-adrenergic receptor crystal as the template. This is the first report of homology modeling of all five subtypes of acetylcholine muscarinic receptors with binding sites optimized for ligand binding. The models were evaluated for their ability to discriminate between muscarinic antagonists and decoy compounds using virtual screening using enrichment factors, area under the ROC curve (AUC), and an early enrichment measure, LogAUC. The models produce rational binding modes of docked ligands as well as good enrichment capacity when tested against property-matched decoy libraries, which demonstrates their unbiased predictive ability. To test the relative effects of homology model template selection and the binding site optimization procedure, we generated and evaluated a naive M2R model, using the M3R crystal structure as a template. Our results confirm previous findings that binding site optimization using ligand(s) active at a particular receptor, i.e. including functional knowledge into the model building process, has a more pronounced effect on model quality than target-template sequence similarity. The optimized M1R-M5R homology models are made available as part of the Supporting Information to allow researchers to use these structures, compare them to their own results, and thus advance the development of better modeling approaches.
Year
DOI
Venue
2014
10.1021/ci400502u
JOURNAL OF CHEMICAL INFORMATION AND MODELING
DocType
Volume
Issue
Journal
54
1
ISSN
Citations 
PageRank 
1549-9596
3
0.52
References 
Authors
16
6
Name
Order
Citations
PageRank
Trayder Thomas130.86
Kimberley C McLean230.52
Fiona M. McRobb3121.35
David T. Manallack4345.97
David K. Chalmers5163.26
Elizabeth Yuriev6203.70